Prediction of pilling grade of alkali-treated regenerated cellulosic fabric using fuzzy inference system

Fabric pilling is formed due to the entanglement of fibers during mechanical actions including abrasion, domestic washing process, and wearing cycles. Pilling resistance one important aesthetic property fabrics controlling appearance fabric quality. can be controlled by different methods; alkali treatment methods for lyocell fabric. In this study, prediction on treated has been done through a fuzzy inference system (FIS). general, conventional measurements some hindrance human error time consuming. This work utilizes algorithm provide accurate quantitative values grades. The correlation coefficient ‘r’ between predicted experimental shows 0.93 TmAH 0.81 NaOH treatments. forecast data sets grades were evaluated mean absolute percentage (MAPE) method observed NaOH, KOH, LiOH, treatments as 16.6%, 18.87%, 21.09%, 8.72% respectively.